Cargando…
Multi-Model Running Latency Optimization in an Edge Computing Paradigm
Recent advances in both lightweight deep learning algorithms and edge computing increasingly enable multiple model inference tasks to be conducted concurrently on resource-constrained edge devices, allowing us to achieve one goal collaboratively rather than getting high quality in each standalone ta...
Autores principales: | Li, Peisong, Wang, Xinheng, Huang, Kaizhu, Huang, Yi, Li, Shancang, Iqbal, Muddesar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415810/ https://www.ncbi.nlm.nih.gov/pubmed/36015856 http://dx.doi.org/10.3390/s22166097 |
Ejemplares similares
-
An intelligent model for supporting edge migration for virtual function chains in next generation internet of things
por: Tsakanikas, Vassilis, et al.
Publicado: (2023) -
Privacy and Security for Resource-Constrained IoT Devices and Networks: Research Challenges and Opportunities
por: Li, Shancang, et al.
Publicado: (2019) -
Collaborative computing: 15th EAI international conference, CollaborateCom 2019, London, UK, August 19-22, 2019, proceedings
por: Wang, Xinheng, et al.
Publicado: (2019) -
Collaborative computing: 14th EAI international conference, CollaborateCom 2018, Shanghai, China, December 1-3, 2018, proceedings
por: Gao, Honghao, et al.
Publicado: (2019) -
Energy-Optimal Latency-Constrained Application Offloading in Mobile-Edge Computing
por: Gu, Xiaohui, et al.
Publicado: (2020)